本文最后介绍了新型网络入侵检测系统的编码工作。
This thesis finally introduces the work of New Type Network Intrusion Detection System 'code.
网络入侵检测系统(NIDS)近年来倍受人们青睐。
Network Intrusion Detection System (NIDS) is paid more attention to by people recently.
本文提出了一种基于数据挖掘的网络入侵检测系统模型。
In this paper, a data mining-based network intrusion detection system model is introduced.
网络入侵检测系统的设计中，入侵检测引擎的设计是关键。
In the design of the network intrusion system, the design of the intrusion detection engine is the key link.
提出入侵预测技术模型可用于扩展网络入侵检测系统的功能。
This paper presents a new intrusion prediction scheme based on case-based reasoning (CBR) for network intrusion detection system (CBRIP).
网络入侵检测系统的性能一定程度依赖于精确、快速的模式匹配技术。
The performance of the Network Intrusion Detections Systems (NIDS) often relies on exact and fast pattern matching techniques.
生物免疫系统的自我保护机制对设计新的网络入侵检测系统具有很好的借鉴意义。
The protection mechanism of the natural immune system has brought us inspirations for designing a novel network intrusion detection system.
基于这个思路，我们设计并实现了一个基于神经网络技术的网络入侵检测系统原型。
Based on this idea, we design and develop a Neural Network-Based Network Intrusion Detection System prototype.
本文在基于数据挖掘的网络入侵检测系统框架基础上设计了一个无导师学习的分析器模型。
Based on the framework of network intrusion detection systems based on data mining, this paper devises an analyzer model of unsupervised learning.
通过实验证明，该模型提高了网络入侵检测系统的效率、有着较高的检测率和较低的漏报率。
Model improves the efficiency of network intrusion detection system with a higher detection rate and low false negative rate by experiment.
此外，CSC公司将规划、协调、分析和报告网络入侵检测系统和入侵防御系统管理的结果。
In addition, CSC will plan, coordinate, analyze and report on the results of managed network intrusion detection systems and intrusion prevention systems.
并结合基于主机入侵检测系统和基于网络入侵检测系统的各自特点，形成了节点入侵检测系统。
To form node intrusion detection system by combining the character of host intrusion detection system and net intrusion detection system.
它是整个网络入侵检测系统的重要组成部分，是响应模块设计的基础，为响应模块提供需要的数据。
It is an important part of the whole network intrusion detection system, which is the base of response module and is designed in order to supply the necessary data to the responsible module.
用于网络入侵检测系统（IDS）的特征（变量）数量太多或太少都会降低IDS识别入侵者的正确率。
Using too many or too too few characters(variable) in Intrusion Detection System(IDS) leads to reduce recognizing correctness of IDS.
针对异常发现技术和模式匹配技术各有利弊的特点，设计了将这两种技术综合运用的网络入侵检测系统。
On the base of the characteristic of modes of anomaly-based and signature-based, a network invasion detection system is proposed to use the virtue of two modes to detect network invasion.
在分析现有分布式入侵检测系统拓扑结构基础上，设计实现了自组织的层次式大规模网络入侵检测系统。
Based on the analysis of current distributed intrusion detection system topology, we design a self-organized hierarchical massive network intrusion detection system.
基于免疫原理的网络入侵检测系统是一个新的研究领域，其中很多新方法、新机制值得我们去研究和探索。
Network intrusion detection based on immunology is a new studying field in which there are many new methods and mechanisms worthy of studying and exploring.
通过对人类免疫系统工作原理的研究，根据其原理、体系结构建立了一个基于免疫原理的网络入侵检测系统模型。
Through the research on the operating principle of human immune system, a NIDS model was given based on its principle and architecture.
当越来越多的公司将其核心业务向互联网转移的时候，网络入侵检测系统将在企业级信息安全中发挥其关键作用。
When more and more company put their core business on the Internet, IDS will play a key role in the Enterprise Information Security.
提出了基于免疫机制的网络入侵检测系统模型，将CPK可信认证技术应用到该模型中，提出了特征提取分析方法；
Using the similarity of the vaccine injection technology, the CPK attestation algorithm applies into network intrusion detection system based on immune mechanism.
在此基础上，论文对网络入侵检测系统(NIDS)的知识库设计进行了分析和研究，对NIDS的知识库进行构架。
On these basis, the paper studies and analyzes the design of knowledge base of network intrusion detection system (NIDS); and discuss the framework of knowledge base for NIDS.
其次，在介绍常用入侵手段和网络入侵检测系统研究现状的基础上，讨论了当前入侵检测技术面临的挑战和发展趋势展望。
Secondly, on the basis of introduction to the normal intrusion methods and state of art of network IDS, contemporary challenges and trends are discussed about IDS.
通过对基于生物免疫理论的G-T算法和线性时间算法的介绍，提出了多特征匹配算法并将其应用于网络入侵检测系统中。
Multi-properties match algorithm is presented and applied in NIDS by introducing G-T algorithm and linear-time algorithm based on biological immune theory.
本篇论文针对当前网络入侵检测系统(IDS)的检测规则，提出了一个具有弹性的、实时的，能动态调整入侵规则的方案。
This paper is aimed at testing the rules of the current network intrusion detection system (IDS), a flexible, real-time; rules can be dynamically adjusted to the invasion plan.
入侵检测的分析技术主要分为滥用入侵检测和异常入侵检测，目前国内外流行的网络入侵检测系统大都是采用滥用入侵检测技术。
The ID analysis methods have two ways: one is anomaly detection and the other is misuse detection. Nowadays, the most popular IDS is network intrusion detection system using misuse detection method.
随着网络速度的迅速提高，各种攻击手段的层出不尽，现行网络入侵检测系统（NIDS）很难适应当前高速网络环境而导致大量的漏检现象。
With the rapid improvement of net speed and the emergence of various attacking means, the existing NIDS cannot effectively deal with the missing detective information in high-speed network.
本文借鉴生物免疫系统中的免疫机制，对检测元的生成机制和匹配算法进行了较深入的探讨，描述了一个基于免疫原理的分布式自适应网络入侵检测系统。
In this paper inspired by the immune mechanism in the biologic immune system, we discussed deeply the generation principle and the matching algorithm of the detector.
为了进一步提高网络入侵检测系统的检测性能，将模糊积分理论和神经网络技术应用到网络入侵检测中，提出了基于模糊积分的多神经网络融合模型MNNF。
The model of Multiple Neural Networks by Fuzzy(MNNF) integral presented in this paper is an effective method to improve the detection performance of network intrusion detection system.
为了进一步提高网络入侵检测系统的检测性能，将模糊积分理论和神经网络技术应用到网络入侵检测中，提出了基于模糊积分的多神经网络融合模型MNNF。
The model of Multiple Neural Networks by Fuzzy(MNNF) integral presented in this paper is an effective method to improve the detection performance of network intrusion detection system.
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